Job Summary
The Senior Data Scientist will lead the design, development, and deployment of advanced analytics and machine learning solutions that drive strategic decision-making and operational efficiency.This role requires a deep understanding of data science, data engineering, and AI concepts, and will play a pivotal role in embedding intelligent automation and predictive modelling across the organisation.
Requirements
Minimum
· Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
· 6–8+ years of experience in data science, with at least 2–3 years in a senior or lead role.
· Proven experience in developing and deploying machine learning models in production environments.
· Strong proficiency in Python, R, SQL, and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
· Solid understanding of data engineering principles and cloud data architectures (e.g., Azure, AWS, GCP).
· Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow).
· Excellent communication and stakeholder engagement skills.
Advantageous
· Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
· Experience with large language models (LLMs) and generative AI.
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